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"How to Manage AI Memory Effectively" matching MCP servers:

  • ai-memory

    alphaonedev
    A
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    quality
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    maintenance
    Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.
    Last updated
    22
    Apache 2.0

  • ai-memory-mcp

    zhanpu89
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    quality
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    maintenance
    Provides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.
    Last updated
    10
    MIT

  • MCP AI Memory

    scanadi
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    quality
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    Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.
    Last updated
    23
    49
    MIT

  • AI-Collab-Memory

    sodam-ai
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    license
    A
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    maintenance
    An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.
    Last updated
    7
    3

  • Skill-to-MCP

    biocontext-ai
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    quality
    B
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
    3
    26
    Apache 2.0

  • anneal-memory

    phillipclapham
    A
    license
    A
    quality
    B
    maintenance
    Two-layer memory for AI agents. Episodes compress into identity. The only MCP memory server with an immune system. Patterns earn permanence through evidence, false knowledge gets caught and demoted, and stale information fades — so your agent's memory gets smarter over time, not just bigger. Zero dependencies. 5 tools. Works with any MCP client.
    Last updated
    6
    6
    MIT

  • repo-memory

    yubinkim444
    A
    license
    A
    quality
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    maintenance
    A different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep
    Last updated
    5
    1
    MIT

  • celiums-memory

    terrizoaguimor
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    license
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    quality
    B
    maintenance
    Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.
    Last updated
    26
    12
    Apache 2.0

  • tidbits-memory

    brkhrdt
    F
    license
    A
    quality
    C
    maintenance
    Enables AI agents to record and rank learnings, facts, and methods through a collaborative voting framework. It provides tools for agents to surface the most useful information across sessions using persistent memory storage.
    Last updated
    8

  • memory-mcp

    User75621
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    quality
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    maintenance
    An MCP server that stores project memory in Supabase, allowing AI tools to persist context, notes, and decisions across sessions. Enables Claude Code, Codex, and similar assistants to maintain long-term project continuity through persistent memory storage.
    Last updated
  • Oceanir Memory by Oceanir

    Oceanir Memoryofficial

    Oceanir
    F
    license
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    quality
    C
    maintenance
    Provides persistent long-term memory for AI coding agents by storing entities, relations, and observations across different sessions. It enables users to manage and query structured knowledge like coding preferences, project patterns, and technical solutions via a graph-based storage system.
    Last updated
    1